{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "MAX_SEQUENCE_LENGTH = 1400 # 句子 上限1400个词\n",
    "EMBEDDING_DIM = 100 # 100d 词向量"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据集\n",
    "HTTP DATASET CSIC 2010: http://www.isi.csic.es/dataset/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "36000 36000 31020\n"
     ]
    }
   ],
   "source": [
    "# 获取数据集\n",
    "# GET 以 Connection + /n + /n 结尾\n",
    "# POST 以 Content-Length + /n + params + /n 结尾\n",
    "\n",
    "def read_data(path):\n",
    "    data = []\n",
    "    labels = []\n",
    "    with open(path) as f:\n",
    "        while True:\n",
    "            line = f.readline()\n",
    "            content = line\n",
    "            if line == '': break \n",
    "            if line[:3] == 'GET':\n",
    "                while True:\n",
    "                    line = f.readline()\n",
    "                    if line[:10] == 'Connection': break\n",
    "                    else: content += line\n",
    "                f.readline() # none\n",
    "                f.readline() # none\n",
    "            elif line[:4] == 'POST':\n",
    "                while True:\n",
    "                    line = f.readline()\n",
    "                    if line[:14] == 'Content-Length': break\n",
    "                    else: content += line\n",
    "                f.readline() # none\n",
    "                content += f.readline()\n",
    "                f.readline() # none\n",
    "            data.append(content)\n",
    "    return data\n",
    "\n",
    "data1 = 'data/normalTrafficTest.txt'\n",
    "data2 = 'data/normalTrafficTraining.txt'\n",
    "data3 = 'data/anomalousTrafficTest.txt'\n",
    "X1 = read_data(data1)\n",
    "X2 = read_data(data2)\n",
    "X3 = read_data(data3)\n",
    "print(len(X1), len(X2), len(X3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "103020 103020\n"
     ]
    }
   ],
   "source": [
    "data = []\n",
    "labels = []\n",
    "data.extend(X1)\n",
    "labels.extend([1] * len(X1))\n",
    "data.extend(X2)\n",
    "labels.extend([1] * len(X2))\n",
    "data.extend(X3)\n",
    "labels.extend([0] * len(X3))\n",
    "print(len(data), len(labels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'GET http://localhost:8080/tienda1/index.jsp HTTP/1.1\\nUser-Agent: Mozilla/5.0 (compatible; Konqueror/3.5; Linux) KHTML/3.5.8 (like Gecko)\\nPragma: no-cache\\nCache-control: no-cache\\nAccept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,image/png,*/*;q=0.5\\nAccept-Encoding: x-gzip, x-deflate, gzip, deflate\\nAccept-Charset: utf-8, utf-8;q=0.5, *;q=0.5\\nAccept-Language: en\\nHost: localhost:8080\\nCookie: JSESSIONID=EA414B3E327DED6875848530C864BD8F\\n'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'POST http://localhost:8080/tienda1/publico/anadir.jsp HTTP/1.1\\nUser-Agent: Mozilla/5.0 (compatible; Konqueror/3.5; Linux) KHTML/3.5.8 (like Gecko)\\nPragma: no-cache\\nCache-control: no-cache\\nAccept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,image/png,*/*;q=0.5\\nAccept-Encoding: x-gzip, x-deflate, gzip, deflate\\nAccept-Charset: utf-8, utf-8;q=0.5, *;q=0.5\\nAccept-Language: en\\nHost: localhost:8080\\nCookie: JSESSIONID=788887A0F479749C4CEEA1E268B4A501\\nContent-Type: application/x-www-form-urlencoded\\nConnection: close\\nid=1&nombre=Jam%F3n+Ib%E9rico&precio=39&cantidad=41&B1=A%F1adir+al+carrito\\n'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 字向量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "Using TensorFlow backend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 80 unique tokens.\n",
      "Shape of data tensor: (103020, 1400)\n"
     ]
    }
   ],
   "source": [
    "# https://keras-cn-docs.readthedocs.io/zh_CN/latest/blog/word_embedding/\n",
    "import numpy as np\n",
    "from keras.preprocessing.text import Tokenizer\n",
    "from keras.preprocessing.sequence import pad_sequences\n",
    "\n",
    "# tokenizer\n",
    "texts = data\n",
    "tokenizer = Tokenizer(char_level=True)\n",
    "tokenizer.fit_on_texts(texts)\n",
    "word_index = tokenizer.word_index\n",
    "\n",
    "# sequences\n",
    "sequences = tokenizer.texts_to_sequences(data)\n",
    "\n",
    "# padding\n",
    "data = pad_sequences(sequences, maxlen=MAX_SEQUENCE_LENGTH)\n",
    "\n",
    "print('Found %s unique tokens.' % len(word_index))\n",
    "print('Shape of data tensor:', data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "\n",
    "token_path = 'model/tokenizer.pkl'\n",
    "pickle.dump(tokenizer, open(token_path, 'wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "# 打乱顺序\n",
    "index = [i for i in range(len(data))]\n",
    "random.shuffle(index)\n",
    "data = np.array(data)[index]\n",
    "labels = np.array(labels)[index]\n",
    "\n",
    "TRAIN_SPLIT = 0.8 # 20% 测试集\n",
    "TRAIN_SIZE = int(len(data) * TRAIN_SPLIT)\n",
    "\n",
    "X_train, X_test = data[0:TRAIN_SIZE], data[TRAIN_SIZE:]\n",
    "Y_train, Y_test = labels[0:TRAIN_SIZE], labels[TRAIN_SIZE:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train len: 82416\n",
      "test len: 20604\n"
     ]
    }
   ],
   "source": [
    "print('train len:', len(X_train))\n",
    "print('test len:', len(X_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "from keras import backend as K\n",
    "\n",
    "import os\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"3\"\n",
    "\n",
    "G = 1 # GPU 数量\n",
    "gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.8)\n",
    "session = tf.Session(config=tf.ConfigProto(gpu_options=gpu_options, allow_soft_placement=True))\n",
    "K.set_session(session)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### CNN + Bi-LSTM + CNN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_1 (Embedding)      (None, 1400, 100)         8100      \n",
      "_________________________________________________________________\n",
      "conv1d_1 (Conv1D)            (None, 1398, 128)         38528     \n",
      "_________________________________________________________________\n",
      "batch_normalization_1 (Batch (None, 1398, 128)         512       \n",
      "_________________________________________________________________\n",
      "activation_1 (Activation)    (None, 1398, 128)         0         \n",
      "_________________________________________________________________\n",
      "max_pooling1d_1 (MaxPooling1 (None, 349, 128)          0         \n",
      "_________________________________________________________________\n",
      "bidirectional_1 (Bidirection (None, 349, 128)          98816     \n",
      "_________________________________________________________________\n",
      "conv1d_2 (Conv1D)            (None, 347, 128)          49280     \n",
      "_________________________________________________________________\n",
      "batch_normalization_2 (Batch (None, 347, 128)          512       \n",
      "_________________________________________________________________\n",
      "activation_2 (Activation)    (None, 347, 128)          0         \n",
      "_________________________________________________________________\n",
      "max_pooling1d_2 (MaxPooling1 (None, 86, 128)           0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 11008)             0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 64)                704576    \n",
      "_________________________________________________________________\n",
      "batch_normalization_3 (Batch (None, 64)                256       \n",
      "_________________________________________________________________\n",
      "activation_3 (Activation)    (None, 64)                0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 1)                 65        \n",
      "_________________________________________________________________\n",
      "batch_normalization_4 (Batch (None, 1)                 4         \n",
      "_________________________________________________________________\n",
      "activation_4 (Activation)    (None, 1)                 0         \n",
      "=================================================================\n",
      "Total params: 900,649\n",
      "Trainable params: 900,007\n",
      "Non-trainable params: 642\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Activation, BatchNormalization, Flatten\n",
    "from keras.layers import Dense, LSTM, Convolution1D, MaxPooling1D\n",
    "from keras.layers.embeddings import Embedding\n",
    "from keras.layers.wrappers import Bidirectional\n",
    "\n",
    "QA_EMBED_SIZE = 64\n",
    "DROPOUT_RATE = 0.3\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Embedding(len(word_index) + 1, EMBEDDING_DIM, input_length=MAX_SEQUENCE_LENGTH))\n",
    "model.add(Convolution1D(filters=128, kernel_size=3, padding='valid', activation='relu'))\n",
    "model.add(BatchNormalization())\n",
    "model.add(Activation('relu'))\n",
    "model.add(MaxPooling1D(4))\n",
    "model.add(Bidirectional(LSTM(QA_EMBED_SIZE, return_sequences=True, dropout=DROPOUT_RATE, recurrent_dropout=DROPOUT_RATE)))\n",
    "model.add(Convolution1D(filters=128, kernel_size=3, padding='valid', activation='relu'))\n",
    "model.add(BatchNormalization())\n",
    "model.add(Activation('relu'))\n",
    "model.add(MaxPooling1D(4))\n",
    "model.add(Flatten())\n",
    "\n",
    "model.add(Dense(QA_EMBED_SIZE))\n",
    "model.add(BatchNormalization())\n",
    "model.add(Activation('relu'))\n",
    "model.add(Dense(1))\n",
    "model.add(BatchNormalization())\n",
    "model.add(Activation(\"sigmoid\"))\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 模型可视化 https://keras-cn.readthedocs.io/en/latest/other/visualization/\n",
    "from keras.utils import plot_model\n",
    "from IPython import display\n",
    "\n",
    "# pip install pydot-ng\n",
    "# sudo apt-get install graphviz\n",
    "plot_model(model, to_file=\"img/model-cnn-blstm-cnn.png\", show_shapes=True)\n",
    "display.Image('img/model-cnn-blstm-cnn.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 57691 samples, validate on 24725 samples\n",
      "Epoch 1/5\n",
      "57691/57691 [==============================] - 1113s 19ms/step - loss: 0.2984 - acc: 0.9216 - precision: 0.9502 - recall: 0.9355 - f1: 0.9413 - val_loss: 0.1410 - val_acc: 0.9872 - val_precision: 0.9898 - val_recall: 0.9919 - val_f1: 0.9908\n",
      "Epoch 2/5\n",
      "57691/57691 [==============================] - 1121s 19ms/step - loss: 0.1204 - acc: 0.9885 - precision: 0.9877 - recall: 0.9960 - f1: 0.9917 - val_loss: 0.0623 - val_acc: 0.9899 - val_precision: 0.9865 - val_recall: 0.9993 - val_f1: 0.9928\n",
      "Epoch 3/5\n",
      "57691/57691 [==============================] - 1135s 20ms/step - loss: 0.0726 - acc: 0.9920 - precision: 0.9913 - recall: 0.9973 - f1: 0.9942 - val_loss: 0.0569 - val_acc: 0.9940 - val_precision: 0.9932 - val_recall: 0.9983 - val_f1: 0.9957\n",
      "Epoch 4/5\n",
      "57691/57691 [==============================] - 1134s 20ms/step - loss: 0.0489 - acc: 0.9939 - precision: 0.9931 - recall: 0.9981 - f1: 0.9956 - val_loss: 0.0564 - val_acc: 0.9949 - val_precision: 0.9932 - val_recall: 0.9995 - val_f1: 0.9963\n",
      "Epoch 5/5\n",
      "57691/57691 [==============================] - 1119s 19ms/step - loss: 0.0355 - acc: 0.9953 - precision: 0.9947 - recall: 0.9985 - f1: 0.9966 - val_loss: 0.0247 - val_acc: 0.9952 - val_precision: 0.9936 - val_recall: 0.9996 - val_f1: 0.9966\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f5a4c121b70>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from keras.callbacks import EarlyStopping, ModelCheckpoint, TensorBoard\n",
    "# from keras.utils import multi_gpu_model\n",
    "from evaluate import *\n",
    "\n",
    "EPOCHS = 5\n",
    "BATCH_SIZE = 64 * G\n",
    "VALIDATION_SPLIT = 0.3 # 30% 验证集\n",
    "\n",
    "early_stopping = EarlyStopping(monitor='val_loss', patience=10)\n",
    "model_checkpoint = ModelCheckpoint('model/model-cnn-blstm-cnn.h5', save_best_only=True, save_weights_only=True)\n",
    "tensor_board = TensorBoard('log/tflog-cnn-blstm-cnn', write_graph=True, write_images=True)\n",
    "\n",
    "# model = multi_gpu_model(model)\n",
    "\n",
    "model.compile(loss='binary_crossentropy',\n",
    "                  optimizer='adam',\n",
    "                  metrics=['accuracy', precision, recall, f1])\n",
    "\n",
    "model.fit(X_train, Y_train, epochs=EPOCHS, batch_size=BATCH_SIZE, \n",
    "          validation_split=VALIDATION_SPLIT, shuffle=True, \n",
    "          callbacks=[early_stopping, model_checkpoint, tensor_board])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20604/20604 [==============================] - 77s 4ms/step\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.02846595311981802,\n",
       " 0.9944670936872001,\n",
       " 0.9924398838744721,\n",
       " 0.999641532875732,\n",
       " 0.9959773655378386]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.evaluate(X_test, Y_test, verbose=1, batch_size=BATCH_SIZE)"
   ]
  }
 ],
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